from flask import Flask, send_file, render_template

from DataAnalysis.matplotIMG import Drawer

app = Flask(__name__)


@app.route('/plot')
def plot_image():
    # 定义时间点和对应的数据
    time_points = ['00:00:00', '01:00:00', '02:00:00', '03:00:00', '04:00:00', '05:00:00',
                   '06:00:00', '07:00:00', '08:00:00', '09:00:00', '10:00:00', '11:00:00', '00:00:00', '01:00:00',
                   '02:00:00', '03:00:00', '04:00:00', '05:00:00',
                   '06:00:00', '07:00:00', '08:00:00', '09:00:00', '10:00:00', '11:00:00']
    data = [5, 10, 8, 4, 25, 12, 6, 22, 17, 23, 9, 55, 5, 10, 8, 4, 25, 12, 6, 22, 17, 23, 9, 55]
    #
    # # 创建图形和轴
    # fig, ax = plt.subplots(figsize=(10, 6))
    #
    # # 计算时间点的中点位置
    # time_positions = np.arange(len(time_points)) + 0.5
    #
    # # 绘制折线图，数据点落在时间区间的中点位置
    # ax.plot(time_positions, data, marker='o')
    #
    # # 设置图形标题和轴标签
    # ax.set_title('Interval Line Plot from 00:00 to 12:00')
    # ax.set_xlabel('Time Intervals')
    # ax.set_ylabel('Data')
    #
    # # # 设置 x 轴刻度和标签
    # # ax.set_xticks(np.arange(len(time_points)))
    # # ax.set_xticklabels(time_points, rotation=45)
    # num_ticks = round(len(time_points) // 8)
    # # num_ticks = int(num_ticks)
    # # 设置 x 轴刻度和标签，每隔 2 个时间点显示一个标签
    # ax.set_xticks(time_positions[::num_ticks])
    # ax.set_xticklabels(time_points[::num_ticks], rotation=0)
    # max_value = ((max(data) + 10) // 10 + 1) * 10
    # ax.set_ylim(0, max_value)
    # # 设置每个点的数字显示
    # for i in range(len(time_points)):
    #     ax.text(i + 0.5, data[i] + 0.5, str(data[i]), ha='center', va='bottom')
    # 将图表保存到内存中
    buf = Drawer.draw_line(time_points, data)
    # 返回图表作为响应
    return send_file(buf, mimetype='image/png')


@app.route('/')
def index():
    return render_template('IMGDemo.html')


if __name__ == '__main__':
    app.run(debug=True, host='127.0.0.1', port=5000)